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Modeling the low-carbon energy transition of territories: q A TIMES-SUD PACA model to assess the long-term decarbonization strategy of the south-east region of France Carlos ANDRADE, Sandrine SELOSSE , Nadia MAÏZI MINES ParisTech PSL Research University Centre for Applied Mathematics Sophia Antipolis 10 December 2019

Modeling the low-carbon energy transition of territories

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Modeling the low-carbon energy transition of territories:

q

A TIMES-SUDPACA model to assess the long-term decarbonization strategy of the south-east region of France

Carlos ANDRADE, Sandrine SELOSSE , Nadia MAÏZI

MINES ParisTech PSL Research University Centre for Applied Mathematics Sophia Antipolis

10 December 2019

The RÉGION SUD PROVENCE-ALPES-CÔTE D’AZUR

2

SUD PACA region’s final energy consumption in 2016

• With 11 940 ktoe in 2016 the consumption of the SUD PACA region represents 8% of the French energy consumption

• Fossil fuels cover 66% of regional energy consumption • 50% of households in the region own at least one car • Heat production accounts for 50% of the energy consumed by the building sector

By sector Total

Source: ADMOSUD

50%

30%

16%

4%

0

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

Transport Builing Industry Agriculture

ktoe

3

Final energy consumption in the SUD PACA Region in 2016 by department

4

Final energy production by department of the SUD PACA Region in 2016

• The SUD PACA region produces around 15% of the energy it consumes • Renewable resources account for 70% of the final energy production • Zone 1 of Bouches-du-Rhône produces 50% of the regional production • Biomass is a significant energy source especially for heat production

Final energy production Departments’ production vs demand

ktoe

0

1000

2000

3000

4000

5000

6000

BDR1 BDR2 AM1 AM2 VAR1 VAR2 VAUC AHP HA

ktoe

Demand 2016 Production 2016

5

2050 renewable energies technical potential

165 MW

• Solar is the most important source of renewable energy in the SUD PACA region representing around 40% of the total potential

• Renewable energy potentials can cover up to 55% of current energy demand 6

PJ

Prospective – Modeling - TIMES

7

𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸 𝑃𝐸𝑃𝑃 𝐻𝐻 (𝑋,𝑡)

𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝑎𝑎𝐸𝑃𝐸𝑃𝑎𝑎𝑎𝑎𝑎𝐸𝐸𝑃𝑎(𝑋,𝑡)

x ∈ 𝐴 ;𝐴 = 𝑍𝑃𝑎𝐸1 … .𝑍𝑃𝑎𝐸10 , 𝐸 = 2016

Paca

elec

HT

𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸 𝑃𝐸𝑃𝑃 𝐵𝐻 (𝑋,𝑡)

Paca

elec

BT

Fran

cele

c

𝐺𝐺𝐺𝐺𝐻𝐻𝑋

𝐺𝐺𝐺𝐺𝐵𝐻𝑋

ElcH

ElcL

ow

𝐻𝐸𝑎𝑎𝑎𝑇𝑃𝐸𝑎𝐸𝐸𝑋

𝐺𝐸𝑅𝐸𝑅𝐸𝑅𝑅𝑅𝑋

𝑅𝐶𝐶𝐸𝑅𝐸𝑅𝑅𝑅𝑋

Res

elec

Com

elec

…….

……

𝐺𝐻𝐸𝑅𝐸𝑅𝑅𝑅𝑋

𝐺𝑅𝑅𝐸𝑅𝐸𝑅𝑅𝑅𝑋

𝑅𝐻𝐵𝐸𝑅𝑅𝑅𝑅𝑋

𝑅𝑅𝑅𝐵𝐸𝑅𝑅𝑅𝑅𝑋

Hea

ting

Hea

ting

O

ffice

s

Coo

king

……

TU_ELCH_PACA_X

TU_PACAHT_X_PACA

𝐺𝐺𝐺𝐺𝐻𝐻𝑋

𝐺𝐺𝐺𝐺𝐵𝐻𝑋

TU_PACABT_X_PACA

Depa

rtm

ents

𝑷𝑷𝑷𝑷𝑷𝑷𝑷𝑷𝑷𝑷 − 𝐓𝐓𝐓𝐓𝐓𝐓𝐓𝐓𝐓𝐓𝐓𝐓𝐓𝐓 − 𝐃𝐓𝐓𝐓𝐓𝐓𝐃𝐃𝐓𝐓𝐓𝐓 𝑫𝑫𝑫𝑫𝑷𝑷

TU_ELCLOW_PACA_X 𝑃𝐴𝑅𝐴

𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸𝐸 𝑎𝑎𝐸𝑃𝐸𝑃𝑎𝑎𝑎𝑎𝑎𝐸𝐸𝑃𝑎

(𝐺𝐸𝑎,𝑅𝑃𝑎… ) (𝑋,𝑡+1)

TIMES SUD PACA : Electric system representation

Prim

airy

En

ergy

Scenarios

2. Carbon Neutral (CN) – SRADDET : Production objectifs proposed by the region SUD PACA

Production (MW) 2012 2020 2025 2030 2050

Electricity

Hydroelectricity0 3 073 3 756 3 929 3 956 4 100

Wind 45 557 1068 1597 3305

Photovoltaïque 596 6912 9779 11730 46852

Biomasse 0 141 172 172 172

Thermal

Heat recovery 1199 2 749 3 611 4 300 6546

Solar Thermal 20 509 781 998 2065

Biomass 80 352 514 650 1283

Biogas 14 71 162 267 570

Gasification 0 55 153 267 586

TOTAL 5 027 12 353 16 558 19 637 65 479

1. Reference : What is the most optimal solution according to potentials

Demand follows past trends

Possible trajectories : production in the reference vs carbon neutral scenario

• Fossil fuels represent 21% of the total electricity produced in the reference scenario while in the carbon neutral scenario there is no use of fossil fuels to produce electricity

• Biogas and wind energy represent each one 22% of the total energy produced in the reference scenario while solar energy represents 45% of the total production in the carbon neutral scenario

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Reference Scenario

Carbon Neutral Scenario PJ

Evolution of the final energy production by department

• Wind energy is developed at its maximum potential

• Bouches-du-Rhône represents still almost 50% of the total production

11

Reference Scenario

Carbon Neutral Scenario

• Alpes-de-Haute-Provence represents almost 30% of the total production and is now the greatest producer in 2050

• Most of the new production comes from low consumption zones

PJ

PJ

HA: Hautes-Alpes VAR: Var

VAUC: Vaucluse

AHP: Alpes-de-Haute-Provence AM: Alpes-Maritimes

BDR: Bouches-du-Rhône

Final energy demand in the building sector

12

Reference Scenario

Carbon Neutral Scenario

Final energy demand in the residential sector : Reference vs Carbon Neutral scenario

13

PJ

• Energy demand in the residential sector in 2050 is 15 % higher than that of 2016 • Fossil fuel has been almost replaced principally by the use of electricity

AHP: Alpes-de-Haute-Provence AM: Alpes-Maritimes BDR: Bouches-du-Rhône HA: Hautes-Alpes VAR: Var VAUC: Vaucluse

Final energy demand in the commercial sector : Reference vs Carbon Neutral scenario

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• Energy demand in the commercial sector in 2050 has decreased in around 9% with respect to 2016 • Fossil fuels use in 2050 are still an important source of energy representing 14% of the total energy demand

AHP: Alpes-de-Haute-Provence AM: Alpes-Maritimes BDR: Bouches-du-Rhône HA: Hautes-Alpes VAR: Var VAUC: Vaucluse

PJ

Final energy demand in the transport sector : Reference vs Carbon Neutral scenario

15

• Oil products represent 53% of the final energy demand of the transport sector • Emissions are reduced in around 40% • The service demand that is the most decarbonised is the transport of individual passengers

PJ

Conclusion

• Past trends show that demand from some energy services is already on its way to decrease energy consumption, for example in the commercial sector, but the rate at which it is decreasing will not fulfill the objectives stablished by the region.

• Electricity is an important energy vector that can help the decarbonisation of the building sector, but for the transport sector it remains limited.

• With the current structure of the energy system of the regions SUD PACA, it is hard to capture the total potential of solar energy.

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THANK YOU FOR YOU ATTENTION

Carlos ANDRADE [email protected] PhD student MINES ParisTech PSL Research University Centre for Applied Mathematics Sophia Antipolis PhD research co-founded by ADEME and the Region SUD Provence-Alpes-Côte d’Azur with the partnership of SCHNEIDER ELECTRIC

MINES ParisTech PSL Research University Centre for Applied Mathematics Sophia Antipolis

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